Qwen3 Reranker 0.6B
nearai/qwen3-reranker-0-6bPor nearai · familia: qwen · lanzado 2025-06-03
⚠ Este es un ajuste fino de la comunidad o un derivado — no un lanzamiento oficial del editor.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacidades
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding1
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability1/10
Agents1
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit0/15
- Provider availability1/10
JSON / structured output20
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume20/20
Cost efficiency95
- Headline price (log-scaled)95/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Production-readiness50
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.06 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $0.11 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.03 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $0.09 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $0.13 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Detalle de precios
Precio recomendado de nearai · Qwen/Qwen3-Reranker-0.6B
Disponible en 1 proveedores
| Proveedor | ID de modelo del proveedor | Entrada / 1M | Salida / 1M | Contexto | Lanzado |
|---|---|---|---|---|---|
| NEAR AI Cloud nearai | Qwen/Qwen3-Reranker-0.6B | $0.010 | $0.010 | 41K | 2025-06-03 |
Frequently asked questions
How much does Qwen3 Reranker 0.6B cost?
Qwen3 Reranker 0.6B costs $0.010 per 1M input tokens and $0.010 per 1M output tokens, sourced from nearai. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Qwen3 Reranker 0.6B?
Qwen3 Reranker 0.6B has a context window of 41K tokens, with a max output of 1K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen3 Reranker 0.6B support tool calling?
No. Qwen3 Reranker 0.6B does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Qwen3 Reranker 0.6B support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Qwen3 Reranker 0.6B in our data source. Verify with nearai's official documentation before relying on it in production.
Can Qwen3 Reranker 0.6B accept image input?
No. Qwen3 Reranker 0.6B only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Qwen3 Reranker 0.6B open-weight?
Yes. Qwen3 Reranker 0.6B's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to Qwen3 Reranker 0.6B?
If Qwen3 Reranker 0.6B doesn't fit, consider FLUX.2 Klein 4B. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More nearai models
- FLUX.2 Klein 4B$1.00 in / $1.00 out
Capability lists this model is in
Última actualización:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.